Scikit Learn
Data Mining Best Practices
Exploring Predictive Analytics Tools Available
Strategies for Predictive Analytics Success
Insight Discovery
The Connection Between Data and Insights
Interactions
Data Mining for Measuring Customer Satisfaction
Data Mining for Analyzing Sales Data 
It combines elements from various fields including statistics, machine
learning, and database systems
...Python A programming language with libraries like Pandas, NumPy, and
Scikit-learn for data analysis
...
Insights from Data 
Data Modeling: Applying statistical models or machine
learning algorithms to analyze the data and make predictions
...Machine Learning Libraries: Frameworks such as TensorFlow and
scikit-learn are used for predictive modeling
...
Data Mining Best Practices 
Statistical Analysis Tools: R and Python libraries such as
scikit-
learn ...
Exploring Predictive Analytics Tools Available 
Predictive analytics is a branch of advanced analytics that uses historical data, statistical algorithms, and machine
learning techniques to identify the likelihood of future outcomes based on historical data
...A programming language widely used for data analysis and machine learning, offering libraries such as Pandas, NumPy, and
Scikit-learn
...
Strategies for Predictive Analytics Success 
Predictive analytics is a branch of advanced analytics that uses historical data, machine
learning, and statistical algorithms to identify the likelihood of future outcomes
...Machine Learning Libraries: Utilize popular machine learning libraries such as TensorFlow and
Scikit-learn
...
Insight Discovery 
Predictive Analytics: Using statistical models and machine
learning techniques to forecast future outcomes based on historical data
...Machine Learning Platforms: Frameworks such as TensorFlow and
Scikit-learn that enable predictive analytics
...
The Connection Between Data and Insights 
Machine
Learning Platforms: Technologies that enable predictive analytics and automated decision-making, including Python libraries like
Scikit-learn
...Learning Platforms: Technologies that enable predictive analytics and automated decision-making, including Python libraries like
Scikit-learn
...
Interactions 
Machine
Learning Models Advanced algorithms that can automatically detect and model interactions in complex datasets
...Python: A versatile programming language with libraries such as Pandas and
Scikit-learn, commonly used for data mining and machine learning
...
Data Mining for Measuring Customer Satisfaction 
Python: A programming language with libraries like Pandas and
Scikit-
learn for data analysis and machine learning
...
Insights Generation 
RapidMiner, KNIME) Machine
Learning Platforms (e
...TensorFlow,
Scikit-learn) Insights Generation Process The process of generating insights typically follows a structured approach: Define Objectives: Clearly outline the goals of the analysis
...
Nebenberuflich (z.B. mit Nebenjob) selbstständig u. Ideen haben
Der Trend bei der Selbständigkeit ist auf gute Ideen zu setzen und dabei vieleich auch noch nebenberuflich zu starten - am besten mit einem guten Konzept ...
Nebenberuflich selbstständig 
Nebenberuflich selbständig ist, wer sich neben seinem Hauptjob im Anstellungsverhältnis eine selbständige Nebentigkeit begründet.